Text-to-Image
Diffusers
TensorBoard
stable-diffusion
diffusion
distillation
flow-matching
geometric-deep-learning
research
Instructions to use AbstractPhil/sd15-flow-matching with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AbstractPhil/sd15-flow-matching with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AbstractPhil/sd15-flow-matching", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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README.md
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## Citation
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```bibtex
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@software{
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author = {AbstractPhil},
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title = {SD1.5 Flow-Matching with Geometric Guidance (Experimental)},
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year = {
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url = {https://huggingface.co/AbstractPhil/
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note = {Experimental distillation approach, results unvalidated}
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}
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```
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## Citation
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```bibtex
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@software{sd15flowmatch2025,
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author = {AbstractPhil},
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title = {SD1.5 Flow-Matching with Geometric Guidance (Experimental)},
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year = {2025},
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url = {https://huggingface.co/AbstractPhil/sd15-flow-matching},
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note = {Experimental distillation approach, results unvalidated}
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}
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```
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